



"""simple docstring"""






from tempfile import TemporaryDirectory
from unittest import TestCase
from unittest.mock import MagicMock, patch

from transformers import AutoModel, TFAutoModel
from transformers.onnx import FeaturesManager
from transformers.testing_utils import SMALL_MODEL_IDENTIFIER, require_tf, require_torch






@require_torch
@require_tf
class 			__snake_case			(      _lowercase):




  def 		SCREAMING_SNAKE_CASE							(					self	:		List[Any]						):






         """simple docstring"""






         _lowerCamelCase		:							Union[str, Any]            =					SMALL_MODEL_IDENTIFIER
         _lowerCamelCase		:							Union[str, Any]            =					'''pt'''
         _lowerCamelCase		:							Optional[int]            =					'''tf'''




  def 		SCREAMING_SNAKE_CASE							(					self	:		Tuple		,   __lowerCAmelCase	:		Union[str, Any]						):






         """simple docstring"""






         _lowerCamelCase		:							Any            =					AutoModel.from_pretrained(self.test_model						)
         model_pt.save_pretrained(__lowerCAmelCase						)




  def 		SCREAMING_SNAKE_CASE							(					self	:		Union[str, Any]		,   __lowerCAmelCase	:		Optional[Any]						):






         """simple docstring"""






         _lowerCamelCase		:							Tuple            =					TFAutoModel.from_pretrained(self.test_model		,   from_pt=__lowerCAmelCase						)
         model_tf.save_pretrained(__lowerCAmelCase						)




  def 		SCREAMING_SNAKE_CASE							(					self	:		Optional[int]						):






         """simple docstring"""






         _lowerCamelCase		:							Dict            =					'''mock_framework'''

         # Framework provided - return whatever the user provides
         _lowerCamelCase		:							str            =					FeaturesManager.determine_framework(self.test_model		,   __lowerCAmelCase						)
         self.assertEqual(__lowerCAmelCase		,   __lowerCAmelCase						)

         # Local checkpoint and framework provided - return provided framework
         # PyTorch checkpoint
         with TemporaryDirectory() as local_pt_ckpt:
                self._setup_pt_ckpt(__lowerCAmelCase						)
                _lowerCamelCase		:							List[Any]            =					FeaturesManager.determine_framework(__lowerCAmelCase		,   __lowerCAmelCase						)
                self.assertEqual(__lowerCAmelCase		,   __lowerCAmelCase						)

         # TensorFlow checkpoint
         with TemporaryDirectory() as local_tf_ckpt:
                self._setup_tf_ckpt(__lowerCAmelCase						)
                _lowerCamelCase		:							int            =					FeaturesManager.determine_framework(__lowerCAmelCase		,   __lowerCAmelCase						)
                self.assertEqual(__lowerCAmelCase		,   __lowerCAmelCase						)




  def 		SCREAMING_SNAKE_CASE							(					self	:		Any						):






         """simple docstring"""






         with TemporaryDirectory() as local_pt_ckpt:
                self._setup_pt_ckpt(__lowerCAmelCase						)
                _lowerCamelCase		:							List[Any]            =					FeaturesManager.determine_framework(__lowerCAmelCase						)
                self.assertEqual(__lowerCAmelCase		,   self.framework_pt						)

         # TensorFlow checkpoint
         with TemporaryDirectory() as local_tf_ckpt:
                self._setup_tf_ckpt(__lowerCAmelCase						)
                _lowerCamelCase		:							Optional[Any]            =					FeaturesManager.determine_framework(__lowerCAmelCase						)
                self.assertEqual(__lowerCAmelCase		,   self.framework_tf						)

         # Invalid local checkpoint
         with TemporaryDirectory() as local_invalid_ckpt:
                with self.assertRaises(__lowerCAmelCase						):
                       _lowerCamelCase		:							Optional[Any]            =					FeaturesManager.determine_framework(__lowerCAmelCase						)




  def 		SCREAMING_SNAKE_CASE							(					self	:		str						):






         """simple docstring"""






         _lowerCamelCase		:							List[str]            =					MagicMock(return_value=__lowerCAmelCase						)
         with patch('''transformers.onnx.features.is_tf_available'''		,   __lowerCAmelCase						):
                _lowerCamelCase		:							Optional[int]            =					FeaturesManager.determine_framework(self.test_model						)
                self.assertEqual(__lowerCAmelCase		,   self.framework_pt						)

         # PyTorch not in environment -> use TensorFlow
         _lowerCamelCase		:							List[str]            =					MagicMock(return_value=__lowerCAmelCase						)
         with patch('''transformers.onnx.features.is_torch_available'''		,   __lowerCAmelCase						):
                _lowerCamelCase		:							Optional[int]            =					FeaturesManager.determine_framework(self.test_model						)
                self.assertEqual(__lowerCAmelCase		,   self.framework_tf						)

         # Both in environment -> use PyTorch
         _lowerCamelCase		:							Optional[int]            =					MagicMock(return_value=__lowerCAmelCase						)
         _lowerCamelCase		:							Dict            =					MagicMock(return_value=__lowerCAmelCase						)
         with patch('''transformers.onnx.features.is_tf_available'''		,   __lowerCAmelCase						), patch(
             '''transformers.onnx.features.is_torch_available'''		,   __lowerCAmelCase						):
                _lowerCamelCase		:							Any            =					FeaturesManager.determine_framework(self.test_model						)
                self.assertEqual(__lowerCAmelCase		,   self.framework_pt						)

         # Both not in environment -> raise error
         _lowerCamelCase		:							Union[str, Any]            =					MagicMock(return_value=__lowerCAmelCase						)
         _lowerCamelCase		:							Tuple            =					MagicMock(return_value=__lowerCAmelCase						)
         with patch('''transformers.onnx.features.is_tf_available'''		,   __lowerCAmelCase						), patch(
             '''transformers.onnx.features.is_torch_available'''		,   __lowerCAmelCase						):
                with self.assertRaises(__lowerCAmelCase						):
                       _lowerCamelCase		:							Any            =					FeaturesManager.determine_framework(self.test_model						)







'''simple docstring'''






from __future__ import annotations

lowerCAmelCase:   str					=		'Muhammad Umer Farooq'
lowerCAmelCase:   List[str]					=		'MIT'
lowerCAmelCase:   Tuple					=		'1.0.0'
lowerCAmelCase:   List[Any]					=		'Muhammad Umer Farooq'
lowerCAmelCase:   Optional[Any]					=		'contact@muhammadumerfarooq.me'
lowerCAmelCase:   Dict					=		'Alpha'

import re
from html.parser import HTMLParser
from urllib import parse

import requests

class 				a__(   lowerCamelCase__      ):







    def __init__( self					:    Dict		,     __snake_case					:    str      ):
      super().__init__()
      a		:   list[str]	  =	[]
      a		:   List[Any]	  =	domain







    def      lowercase_			( self					:    Dict		,     __snake_case					:    str		,     __snake_case					:    list[tuple[str, str | None]]      ):
      # Only parse the 'anchor' tag.
      if tag == "a":
        # Check the list of defined attributes.
        for name, value in attrs:
          # If href is defined, and not empty nor # print it.
          if name == "href" and value != "#" and value != "":
            # If not already in urls.
            if value not in self.urls:
              a		:   Tuple	  =	parse.urljoin(self.domain		,     __snake_case      )
              self.urls.append(__snake_case      )
def  lowerCamelCase__			(		_A							):
  return ".".join(get_sub_domain_name(_A							).split('.'							)[-2:]							)
def  lowerCamelCase__			(		_A							):
  return parse.urlparse(_A							).netloc
def  lowerCamelCase__			(		_A = "https://github.com"							):
  a		:   Any	  =	get_domain_name(_A							)

  # Initialize the parser
  a		:   Tuple	  =	Parser(_A							)

  try:
    # Open URL
    a		:   List[Any]	  =	requests.get(_A							)

    # pass the raw HTML to the parser to get links
    parser.feed(r.text							)

    # Get links and loop through
    a		:   Union[str, Any]	  =	set()
    for link in parser.urls:
      # open URL.
      # read = requests.get(link)
      try:
        a		:   int	  =	requests.get(_A							)
        # Get the valid email.
        a		:   Optional[Any]	  =	re.findall('[a-zA-Z0-9]+@' + domain					,     read.text							)
        # If not in list then append it.
        for email in emails:
          valid_emails.add(_A							)
      except ValueError:
        pass
  except ValueError:
    raise SystemExit(1							)

  # Finally return a sorted list of email addresses with no duplicates.
  return sorted(_A							)


if __name__ == "__main__":
     lowerCAmelCase:   Any					=		emails_from_url('https://github.com')
     print(F"{len(emails)} emails found:")
     print('\n'.join(sorted(emails)))